Avetik G. Karagulyan

According to our database1, Avetik G. Karagulyan authored at least 9 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Improved Guarantees for Langevin Monte Carlo with Average Smoothness.
CoRR, May, 2026

2025
ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression.
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024
SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning.
CoRR, 2024

Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets.
J. Mach. Learn. Res., 2022

2020
Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2017
User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient.
CoRR, 2017


  Loading...